Abstract: A method, a computer system, and a computer program product for managing inventory for an organization. The computer system identifies human resources data regarding employees of organizations. The human resources data comprises geolocation data based at least partially on a geolocation of the organization and geolocations of the employees. The computer system determines a change in market dynamics relating to a set of geographic regions based at least partially on the human resources data. The computer system identifies transaction data for transactions involving a business merchant within a particular geographic region and a consumer. The computer system generates a suggested inventory for the business merchant. The suggested inventory is based at least partially on the determined change in market dynamics for the set of geographic regions in the transaction data for the business merchant.

Abstract: A method for controlling access to data displayed by an information services portal on a user device is provided. The method includes receiving a candidate login input corresponding to a user. The method further includes comparing the candidate login input to a list of login entries stored in the memory, each of the stored login entries having a corresponding code segment, each code segment defining a bounding area defining a geographic area. The method further includes retrieving from the memory a selected code segment corresponding to the stored login entry matching the candidate login input, and applying a geographic restriction to the data set by processing the selected code segment. The method further includes transmitting a data subset of the data set to the user computing device for display, the data subset including data satisfying the geographic restriction.

Abstract: A method, computer system, and computer program product that aggregates sample data regarding a plurality of factors associated with employment and geographic location; performs iterative analysis on the sample data using machine learning to construct a predictive model; populates, using the predictive model, a database with predicted values of real estate demand for a selected set of predefined geographic regions; converts the predicted values of real estate demand in the database into percentages of observed values of real estate demand for geographic regions within the selected set over a specified time period to create indices of real estate demand; and rank orders the geographic regions within the selected set according to their indices of real estate demand.

Abstract: A computer-implemented method for tokenless authentication of a paying consumer during a payment transaction uses a computing device having a processor and a memory. The method includes receiving a plurality of biometric data sets for a plurality of consumers. Each biometric data set includes at least a biometric image of a consumer and an associated payment account identifier. The method also includes receiving, from a first biometric input device communicatively coupled to the processor, a first biometric image of the paying consumer including an iris image. The method further includes determining a payment account associated with the paying consumer based on at least the first biometric image and the plurality of biometric data sets. The method also includes authenticating use of the payment account by the paying consumer for a payment transaction at the retail location by comparing the first biometric image to the plurality of biometric data sets.

Abstract: A system and method for authenticating a candidate user accessing a host computing device as an authentic user is provided. The host computing device is in communication with an authenticating computing device. The method includes receiving, by the authenticating computing device, a request to authenticate the candidate user as an authentic user. The authentication request includes a user identifier. The method also includes retrieving, by the authenticating computing device, transaction data including payment transactions performed by the authentic user based on the user identifier. The method also includes generating, by the authenticating computing device, a challenge question and a correct answer based on the transaction data associated with the authentic user, and transmitting the challenge question for display on a candidate user computing device used by the candidate user.

Abstract: A method, computer system, and computer program product that aggregates data regarding a plurality of factors correlated with income; performs iterative analysis on the data using machine learning to construct a predictive model; populates, using the predictive model, a database with predicted income values for a selected range of housing costs; converts the predicted income values in the database into percentages of observed income values for a selected group of people within the selected range of housing costs over a specified time period to create indices of financial stress; and rank orders the people within the selected group according to their indices of financial stress.

Abstract: A method, a computer system, and a computer program product for predicting changes in market dynamics for a geographic region. A computer system identifies human resource data regarding employees of organizations. The human resource data comprises geolocation data based at least partially on a geolocation of the organization and geolocations of the employees. The computer system generates a plurality of location aggregates for different combinations of dimensions of the human resource data across a plurality of different geolocations. The computer system identifies a set of matched markets for a particular geographic region based on similarities among facts for the different combinations of dimensions among the plurality of location aggregates. The computer system identifies a predicted change in market dynamics for the particular geographic region based on a change in market dynamics for the set of matched markets.

Abstract: A method and apparatus for reducing an amount of resources required for address validation. An address validation program running on a processor unit configures a tax information table in a payroll database to have an authorization column indicating whether an employee having data in a row of the tax information table has authorized release of data in the row; receives a validation request for at least one validated address entered in one or more request fields in a graphical user interface connected to the processor unit; searches only rows having an indication of authorization in the authorization column of the tax information table; and responsive to finding at least one current address in the tax information table, displays the at least one current address in one or more response fields of the graphical user interface as the at least one validated address.

Abstract: A method for validating tax data of a taxable entity comprises: receiving at a computer processor, payment card transaction records including at least one of a customer identifier, a merchant identifier, and transaction purchase amounts corresponding to entity purchase transactions over a given time period; analyzing the payment card transaction records data to generate one or more spending profiles according to one or more categories of merchants; correlating the entity spending profiles with one or more other aggregated spending profiles representative of historical spending by additional entities whose reported income is within a given range of the entity reported income; comparing the degree of correlation with a threshold and generating a signal indicative of a request for secondary review of a tax filing of the entity when the degree of correlation is below the threshold; and otherwise generating a signal indicative of a validated tax filing of the entity.

Abstract: A method implemented using a computing device in communication with one or more memory devices is provided. The method includes receiving a request from a client computing device to provide financial performance data for at least a first merchant of a plurality of merchants, retrieving transaction data associated with the plurality of merchants from the one or more memory devices wherein the transaction data is associated with payments processed through a payment network, comparing the transaction data associated with the first merchant to the transaction data associated with each of the plurality of merchants to determine at least one ranking of the first merchant relative to the plurality of merchants based on at least one financial performance factor, and transmitting the at least one ranking to the client computing device, in response to the request, without providing a name of the first merchant.

Abstract: A computer-implemented method, system, and computer program product for research in a double-blind framework, links, by a data processing system, a double-blind framework application to an intra-network database, provides a double-blind framework portal linked to the double-blind framework application, and responsive to a request entered on the double-blind framework portal, provides to a requestor, responses to research surveys directed to an audience selected from the intra-network database based on an intra-change system. The intra-network database comprises a database of entities and employees of the entities that have opted-in to an intra-change system. The intra-change system provides financial incentives to the entities and employees by sharing a fee paid by the requestor for each research survey.

Abstract: A method, computer system, and computer program product are provided for automatically causing an action to be performed and a payment for the action to be made in a blockchain environment. The blockchain environment receives a transaction. The transaction is configured to activate a smart contract. In response to being activated by the transaction, the smart contract issues a message within the blockchain environment. The message causes the action to be performed at a location device and an indication of the payment for the action to be rendered on a display of a device.

Abstract: A method, computer system, and computer program product that aggregates sample data regarding a plurality of factors associated with income and geographic location; performs iterative analysis on the sample data using machine learning to construct a predictive model; populates, using the predictive model, a database with predicted values of encountered income for a selected set of predefined signage locations; converts the predicted values of encountered income in the database into percentages of observed values of encountered income for signage locations within the selected set over a specified time period to create indices of encountered income; and rank orders the signage locations within the selected set according to their indices of encountered income.

Abstract: A method and device for analyzing customer traffic data at a merchant location are provided. The method may include transmitting pings within a coverage area of a wireless network provided by the merchant computer, receiving ping responses from one or more customer devices corresponding to one or more customers located within the coverage area of the wireless network provided by the merchant computer, extracting a unique device identifier from each received ping response over a period of time, each of the unique device identifiers identifying a different customer device that transmitted the ping response, estimating an amount of customer traffic at the merchant location, over the period of time, based on the unique device identifiers extracted during the period of time, and outputting an indication of the estimated amount of customer activity at the merchant location over the period of time.

Abstract: A method, computer system, and computer program product that aggregates sample data regarding a plurality of factors associated with employment and geographic location; performs iterative analysis on the sample data using machine learning to construct a predictive model; populates, using the predictive model, a database with predicted values of real estate demand for a selected set of predefined geographic regions; converts the predicted values of real estate demand in the database into percentages of observed values of real estate demand for geographic regions within the selected set over a specified time period to create indices of real estate demand; and rank orders the geographic regions within the selected set according to their indices of real estate demand.

Abstract: A method and system for determining a status of a visitor to a physical location and associated with a handheld device using a computer device coupled to a database are provided. The method includes receiving, by the processor, a hello message from a radio associated with one or more handheld devices, capturing a unique identifier of the handheld device from the received hello message, determining visitor geographic information based on the captured unique identifier and a determined signal strength of the hello message, and outputting the visitor information.

Abstract: A method, computer system, and computer program product that aggregates sample data regarding a plurality of factors associated with income and geographic location; performs iterative analysis on the sample data using machine learning to construct a predictive model; populates, using the predictive model, a database with predicted values of encountered income for a selected set of predefined signage locations; converts the predicted values of encountered income in the database into percentages of observed values of encountered income for signage locations within the selected set over a specified time period to create indices of encountered income; and rank orders the signage locations within the selected set according to their indices of encountered income.

Abstract: A method, apparatus, and computer program product for digitally presenting statistically-relevant business insights into a set of business metrics for an organization. A computer system identifies a set of organizational characteristics from human resources data of employees of a plurality of organizations, and applies a selected inclusion criteria to the set of organizational characteristics to identify a set of candidate organizations. The computer system identifies a set of benchmark organizations from the set of candidate organizations, and creates a fixed panel of the benchmark organizations. The computer system applies the fixed panel to the human resources data of employees of a plurality of organizations to create an analysis dataset that consists of human resources data of employees of the benchmark organizations. The computer system generates a business insight into the set of business metrics of the organization based on the analysis dataset, and digitally presents the business insight.

Abstract: A method, computer system, and computer program product are provided for automatically causing an action to be performed and a payment for the action to be made in a blockchain environment. The blockchain environment receives a transaction. The transaction is configured to activate a smart contract. In response to being activated by the transaction, the smart contract issues a message within the blockchain environment. The message causes the action to be performed at a location device and an indication of the payment for the action to be rendered on a display of a device.

Abstract: A method, an apparatus, and a computer program product for digitally presenting a competitive human resources migration model for an organization. A computer system identifies human resources data regarding employees of a set of benchmark organizations. The human resources data comprises employee names and job types. The computer system indexes the human resources data according to job types. The computer system determines a set of geographic distribution trends for each of the job types. The set of geographic distribution trends is determined based on employee names of the employees. The computer system determines a competitive human resources migration model for the organization based on an effect of the set of geographic distribution trends on business metrics for the set of benchmark organizations. The computer system digitally presents the competitive human resources migration model for the organization.